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Terence Soule

Publications and source records attributed to Terence Soule.

2 recordsLinked to original sources

Microbial community structure in polluted Baltic Sea sediments.

Nearly half the seabed of the Baltic Proper is incapable of supporting life of higher organisms as a consequence of oxygen depletion resulting from eutrophication. However, these areas are actually teeming with microbial life. Here we used terminal-restriction fragment length polymorphism (T-RFLP) to investigate the dominant archaeal and bacterial groups, with respect to community structure, in surface layers of bottom sediments of the Baltic Sea along a coastal pollution gradient. Both archaeal and bacterial communities formed distinct clusters along the pollution gradient and the community compositions were different at the polluted sites compared with the relatively clean reference sites. The structures of the bacterial communities were most strongly correlated to water depth, followed by organic carbon, oxygen, salinity and silicate levels. In contrast, the structures of the archaeal communities were most strongly correlated to oxygen, salinity, organic carbon, silicate and nitrate levels. Some members of the microbial communities were identified using a combination of traditional and molecular approaches. Isolates obtained on different culture media were identified by partial sequencing of their 16S rRNA genes and some novel species were found. In addition, we developed a computer program, aplaus, to elucidate the putative identities of the most dominant community members by T-RFLP.

Bacteria↗

Resilient individuals improve evolutionary search.

Results from the artificial life community show that under some conditions evolving populations converge on broader, but less fit peaks in the fitness landscape and avoid more fit, but narrower peaks. Results from the evolutionary computation community show that over time genotypes evolve to become more resilient, where resiliency (or genetic robustness) is defined as the ability of an individual to resist the potentially negative effects of genetic operations. This article demonstrates a previously unobserved evolutionary dynamic: in populations initially favoring a low, broad fitness peak, increases in resiliency result in the population shifting to a higher, narrower fitness peak. In these cases increasing resiliency is a necessary precondition for finding narrower peaks. If increasing resiliency is restricted, for example by restricting growth, populations fail to shift to the narrower peak and remain stuck on the broader, less fit peaks. Thus, restricting growth or other resiliency-enhancing strategies may significantly inhibit evolutionary search by making it impossible for an evolutionary algorithm to find solutions represented by better, but narrower, peaks.

Artificial Intelligence↗